Spatial Estimation of Soil Erosion Risk by Land-cover Change in the Andes OF Southern Ecuador

2013 ◽  
Vol 26 (6) ◽  
pp. 565-573 ◽  
Author(s):  
Pablo Ochoa-Cueva ◽  
Andreas Fries ◽  
Pilar Montesinos ◽  
Juan A. Rodríguez-Díaz ◽  
Jan Boll
Keyword(s):  
Soil Erosion ◽  
Land Cover ◽  
Land Cover Change ◽  
Erosion Risk ◽  
Spatial Estimation ◽  
Soil Erosion Risk ◽  
The Andes ◽  
Southern Ecuador

scholarly journals Effect of Land Use and Land Cover Change on Soil Erosion in Erer Sub-Basin, Northeast Wabi Shebelle Basin, Ethiopia

2019 ◽  
Author(s):  
Gezahegn Weldu ◽  
Arus Edo
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Land Cover ◽  
Land Cover Change ◽  
Soil Loss ◽  
Erosion Risk ◽  
Priority Areas ◽  
Soil Erosion Risk ◽  
Soil And Water ◽  
Loss Rates

Land use and land cover change (LULCC) is a critical factor for enhancing the soil erosion risk and land degradation process in the Wabi Shebelle Basin. Up-to-date spatial and statistical data on basin-wide erosion rates can provide an important basis for planning and conservation of soil and water ecosystems. The objectives of this study were to examine the magnitude of LULCC and consequent changes in the spatial extent of soil erosion risk, and identify priority areas for Soil and Water Conservation (SWC) in the Erer Sub-Basin, Wabi Shebelle Basin, Ethiopia. The soil loss rates were estimated using an empirical prediction model of the Revised Universal Soil Loss Equation (RUSLE) outlined in the ArcGIS environment. The estimated total annual actual soil loss at the sub-basin level was 1.01 million tons in 2000 and 1.52 million tons in 2018 with a mean erosion rate of 75.85 t ha–1 y–1 and 107.07 t ha–1 y–1, respectively. The most extensive soil loss rates were estimated in croplands and bare land cover, with a mean soil loss rate of 37.60 t ha–1 y–1 and 15.78 t ha−1 y−1, respectively. The soil erosion risk has increased by 18.28% of the total area, and decreased by 15.93%, showing that the overall soil erosion situation is worsening in the study area. We determined SWC priority areas using the Multi-Criteria Decision Rule (MCDR) approach, indicates that the top three levels identified for intense SWC account for about 2.50%, 2.38%, and 2.14%, respectively. These priority levels are typically situated along the steep slopes in Babile, Fedis, Fik, Gursum, Gola Oda, Haramaya, Jarso, and Kombolcha districts that need emergency SWC measures.

scholarly journals Effect of Land Use and Land Cover Change on Soil Erosion in Erer Sub-Basin, Northeast Wabi Shebelle Basin, Ethiopia

Land ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 111
Author(s):  
Gezahegn Weldu Woldemariam ◽  
Arus Edo Harka
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Land Cover ◽  
Land Cover Change ◽  
Soil Loss ◽  
Erosion Risk ◽  
Priority Areas ◽  
Soil Erosion Risk ◽  
Soil And Water ◽  
Loss Rates

Land use and land cover change (LULCC) is a critical factor for enhancing the soil erosion risk and land degradation process in the Wabi Shebelle Basin. Up-to-date spatial and statistical data on basin-wide erosion rates can provide an important basis for planning and conservation of soil and water ecosystems. The objectives of this study were to examine the magnitude of LULCC and consequent changes in the spatial extent of soil erosion risk, and identify priority areas for Soil and Water Conservation (SWC) in the Erer Sub-Basin, Wabi Shebelle Basin, Ethiopia. The soil loss rates were estimated using an empirical prediction model of the Revised Universal Soil Loss Equation (RUSLE) outlined in the ArcGIS environment. The estimated total annual actual soil loss at the sub-basin level was 1.01 million tons in 2000 and 1.52 million tons in 2018 with a mean erosion rate of 75.85 t ha−1 y−1 and 107.07 t ha−1 y−1, respectively. The most extensive soil loss rates were estimated in croplands and bare land cover, with a mean soil loss rate of 37.60 t ha−1 y−1 and 15.78 t ha−1 y−1, respectively. The soil erosion risk has increased by 18.28% of the total area, and decreased by 15.93%, showing that the overall soil erosion situation is worsening in the study area. We determined SWC priority areas using a Multi Criteria Decision Rule (MCDR) approach, indicating that the top three levels identified for intense SWC account for about 2.50%, 2.38%, and 2.14%, respectively. These priority levels are typically situated along the steep slopes in Babile, Fedis, Fik, Gursum, Gola Oda, Haramaya, Jarso, and Kombolcha districts that need emergency SWC measures.

Effects of climate, land cover and topography on soil erosion risk in a semiarid basin of the Andes

CATENA ◽  
2016 ◽  
Vol 140 ◽  
pp. 31-42 ◽  
Author(s):  
P.A. Ochoa ◽  
A. Fries ◽  
D. Mejía ◽  
J.I. Burneo ◽  
J.D. Ruíz-Sinoga ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Land Cover ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
The Andes

scholarly journals Assessment of Land Cover Change and Its Impact on Changes in Soil Erosion Risk in Nepal

2018 ◽  
Vol 10 (12) ◽  
pp. 4715 ◽  
Author(s):  
Kabir Uddin ◽  
Mir Abdul Matin ◽  
Sajana Maharjan
Keyword(s):  
Soil Erosion ◽  
Land Cover ◽  
Land Cover Change ◽  
Soil Conservation ◽  
Forest Cover ◽  
Human Life ◽  
Landsat Images ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
Land Cover Maps

Land cover change is a critical driver for enhancing the soil erosion risk in Nepal. Loss of the topsoil has a direct and indirect effect on human life and livelihoods. The present study provides an assessment of the decadal land use and land cover (LULC) change and consequent changes in the distribution of soil erosion risk for the years, 1990, 2000, and 2010, for the entire country of Nepal. The study attempted to understand how different land cover types change over the three decades and how it has changed the distribution of soil erosion risks in Nepal that would help in the development of soil conservation priority. The land cover maps were produced using geographic object-based image analysis (GEOBIA) using Landsat images. Soil erosion patterns were assessed using the revised universal soil loss equation (RUSLE) with the land cover as the input. The study shows that the forest cover is the most dominant land cover in Nepal that comprises about 6,200,000 ha forest cover. The estimated annual erosion was 129.30 million tons in 1990 and 110.53 million tons in 2010. The assessment of soil erosion dynamics was presented at the national, provincial, and district level. District wise analysis revealed that Gulmi, Parbat, Syangja, and the Tanahu district require priority for soil conservation.

scholarly journals The Implication of Land-Use/Land-Cover Change for the Declining Soil Erosion Risk in the Three Gorges Reservoir Region, China

2019 ◽  
Vol 16 (10) ◽  
pp. 1856 ◽  
Author(s):  
Jinzhu Jiu ◽  
Hongjuan Wu ◽  
Sen Li
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Land Cover Change ◽  
Natural Resource Management ◽  
Natural Resource ◽  
Three Gorges Reservoir ◽  
Three Gorges ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
The Three Gorges

The Three Gorges Reservoir Region (TGRR) in China is an ecologically and politically important region experiencing rapid land use/cover changes and prone to many environment hazards related to soil erosion. In the present study, we: (1) estimated recent changes in the risk pattern of soil erosion in the TGRR, (2) analysed how the changes in soil erosion risks could be associated with land use and land cover change, and (3) examined whether the interactions between urbanisation and natural resource management practices may exert impacts on the risks. Our results indicated a declining trend of soil erosion risk from 14.7 × 106 t in 2000 to 1.10 × 106 t in 2015, with the most risky areas being in the central and north TGRR. Increase in the water surface of the Yangtze River (by 61.8%, as a consequence of water level rise following the construction of the Three Gorges Dam), was found to be negatively associated with soil erosion risk. Afforestation (with measured increase in forest extent by 690 km2 and improvement of NDVI by 8.2%) in the TGRR was associated with positive soil erosion risk mitigation. An interaction between urbanisation (urban extant increased by 300 km2) and vegetation diversification (decreased by 0.01) was identified, through which the effect of vegetation diversification on soil erosion risk was negative in areas having lower urbanisation rates only. Our results highlight the importance of prioritising cross-sectoral policies on soil conservation to balance the trade-offs between urbanisation and natural resource management.

scholarly journals Land Cover Change in the Andes of Southern Ecuador—Patterns and Drivers

2015 ◽  
Vol 7 (3) ◽  
pp. 2509-2542 ◽  
Author(s):  
Giulia Curatola Fernández ◽  
Wolfgang Obermeier ◽  
Andrés Gerique ◽  
María López Sandoval ◽  
Lukas Lehnert ◽  
...  
Keyword(s):  
Land Cover ◽  
Land Cover Change ◽  
The Andes ◽  
Southern Ecuador

scholarly journals Assessment of Spatial Soil Erosion Susceptibility Based on the CORINE Model in the Gumara-Maksegnit Watershed, Ethiopia

2018 ◽  
Vol 8 ◽  
pp. 38-45
Author(s):  
Kassaye Gurebiyaw ◽  
Hailu Kendie Addis ◽  
Achenafi Teklay
Keyword(s):  
Soil Erosion ◽  
Land Cover ◽  
Water Conservation ◽  
Assessment Method ◽  
Low Risk ◽  
Risk Map ◽  
Moderate Risk ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
Risk Areas

Soil erosion is one of the major environmental threats in the northwestern Amhara Region of Ethiopia. The objective of this study is to assess the spatial heterogeneity of soil erosion risk within the Gumara-Maksegnit watershed (57.3 km2) using the Coordination of Information on the Environment (CORINE) soil erosion assessment method to determine the most endangered areas. The model is simple and robust and consists of six steps overlaying combinations of soil texture, depth, stoniness, climatic and land-use/land-cover information with GIS support. The CORINE model was used to produce potential and actual soil erosion maps. The potential soil erosion map consists of the erosion risk of the land without considering current vegetation, but can be expanded to consider current land cover. The potential soil erosion risk map showed that a small part of the watershed (6.63 %) had low risk, 17.92 % had moderate risk and a large part of the study area (75.45 %) had high potential erosion risk. Meanwhile, the actual soil erosion risk map showed that a small part of the watershed (11.92 %) had low risk, 20.85 % of the area had moderate risk, and a large part of the study area (67.23 %) had high actual soil erosion risk. Low soil erosion risk areas were located in the southern part of the watershed, high erosion risk areas were found in the northern, northwestern and eastern part of the watershed, while moderately risky areas were randomly distributed throughout the watershed. Overall, the CORINE model can play a role in soil and water conservation by identifying highly endangered areas.

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